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[PS] Ex. Notes
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$$
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$$
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s_n = a_1 \cdot \frac{1-q^n}{1-q} \qquad \underset{n\to\infty}{\lim} s_n = \frac{a_1}{1-q}
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s_n = a_1 \cdot \frac{1-q^n}{1-q} \qquad \underset{n\to\infty}{\lim} s_n = \frac{a_1}{1-q}
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$$
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$$
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\subtext{Wobei $a_i = a_1 \cdot q^{i-1}$}
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\subtext{Wobei $a_i = a_1 \cdot q^{i-1}$}
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\definition \textbf{Binomialkoeffizient}
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$$
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\binom{n}{k} := \frac{n!}{k!\cdot(n-k)!}
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$$
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% good examples in script
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% good examples in script
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\theorem \textbf{Randverteilung}\\
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\smalltext{Die einzelnen Verteilungen $p_X$ lassen sich extrahieren:}\\
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\subtext{$\forall z \in W_i$:}
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$$
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\P[X_i = z] = \underset{x_1,\ldots,x_{i-1},z,x_{i+1},\ldots,x_n}{\sum} p\Bigl( x_1,\ldots,x_{i-1},z,x_{i+1},\ldots,x_n \Bigr)
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$$
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\subtext{$X_1,\ldots,X_n$ diskret,$\quad$ gem. Vert. $p = \Bigl( p(x_1,\dots,x_n) \Bigr)_{x_1 \in W_1,\ldots,x_n \in W_n}$}
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{\footnotesize
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\remark Nicht umgekehrt: Aus den Randverteilungen lässt sich nichts über die gem. Vert. schliessen.
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}
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\theorem \textbf{Erwartungswert}\\
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\theorem \textbf{Erwartungswert}\\
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$$
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$$
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\E\Bigl[ \phi(X_1,\ldots,X_n) \Bigr] = \int_{-\infty}^\infty\cdots\int_{-\infty}^\infty\phi(x_1,\ldots,x_n)\cdot f(x_1\cdots x_n)\ dx_n\ldots dx_1
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\E\Bigl[ \phi(X_1,\ldots,X_n) \Bigr] = \int_{-\infty}^\infty\cdots\int_{-\infty}^\infty\phi(x_1,\ldots,x_n)\cdot f(x_1\cdots x_n)\ dx_n\ldots dx_1
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